ResNet Strikes Back! | Patches Are All You Need? | Papers Explained

ConvNeXt: A ConvNet for the 2020s | Paper Explained

OpenAI GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Machine Learning for Everybody – Full Course

Gradients are Not All You Need (Machine Learning Research Paper Explained)

Let's build GPT: from scratch, in code, spelled out.

GPT-Fast - blazingly fast inference with PyTorch (w/ Horace He)

What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata

Vision Transformer (ViT) - An image is worth 16x16 words | Paper Explained

Rethinking Attention with Performers (Paper Explained)

But what is a neural network? | Chapter 1, Deep learning

Attention is all you need (Transformer) - Model explanation (including math), Inference and Training

OpenAI CLIP: ConnectingText and Images (Paper Explained)

LSTM is dead. Long Live Transformers!

Pytorch Transformers from Scratch (Attention is all you need)

MIT Introduction to Deep Learning | 6.S191

Think Fast, Talk Smart: Communication Techniques

Intro to graph neural networks (ML Tech Talks)

Lucas Beyer (Google DeepMind) - Convergence of Vision & Language

ConvNeXt: A ConvNet for the 2020s – Paper Explained (with animations)

Illustrated Guide to Transformers Neural Network: A step by step explanation